The mine locomotive wireless network strategy based on successive interference cancellation with dynamic power control by Lei Shi, Yu Gao, Zhenchun Wei, Xu Ding, Yi Shi

“…We first divide the whole schedule time into time segments and build the problem model in each time segment. To maximize throughput for each time segment, we formulate a linear programming problem based on certain features of successive interference cancellation decoding order. …”
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Intelligent Identification Method of Wind Farm Sub-synchronous/Super-synchronous Oscillation Parameters Based on RA-CNN and Synchrophasor by Youwen LU, Hao CUI, Jianing CHEN, Xiangjia PENG, Shuang FENG, Dong LIU

“…Meanwhile, this method introduces residual connections to solve the problems of gradient vanishing and network degradation in the deep convolutional neural network. …”
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Influence of the Gut Microbiota on the Development of Neurodegenerative Diseases by Mahendra P. Singh, Riya Chakrabarty, Shabnam Shabir, Sumaira Yousuf, Ahmad A. Obaid, Mahmoud Moustafa, Mohammed Al-Shehri, Ahmed Al-Emam, Abdulhakeem S. Alamri, Walaa F. Alsanie, Majid Alhomrani, Anastasiia D. Shkodina, Sandeep K. Singh

“…An altered microbiome of the gut, which is considered to play a central role in diseases as well as health, has recently been identified as another potential feature seen in neurodegenerative disorders. An array of microbial molecules that are released in the digestive tract may mediate gut-brain connections and permeate many organ systems, including the nervous system. …”
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Integrating deformable CNN and attention mechanism into multi-scale graph neural network for few-shot image classification by Yongmin Liu, Fengjiao Xiao, Xinying Zheng, Weihao Deng, Haizhi Ma, Xinyao Su, Lei Wu

“…Abstract Graph neural networks have excellent performance and powerful representation capabilities, and have been widely used to handle Few-shot image classification problems. The feature extraction module of graph neural networks has always been designed as a fixed convolutional neural network (CNN), but due to the intrinsic properties of convolution operations, its receiving domain is limited. …”
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LI-YOLO: An Object Detection Algorithm for UAV Aerial Images in Low-Illumination Scenes by Songwen Liu, Hao He, Zhichao Zhang, Yatong Zhou

“…Specifically, in the feature extraction section, this paper proposes a feature enhancement block (FEB) to realize global receptive field and context information learning through lightweight operations and embeds it into the C2f module at the end of the backbone network to alleviate the problems of high noise and detail blur caused by low illumination with very few parameter costs. …”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…The field faces challenges such as long-tail distribution problems, data sparsity, and complex label co-occurrence patterns due to peptides’ multi-functional nature. …”
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SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification by Sunil Kumar Prabhakar, Seong-Whan Lee

“…<italic>Methods</italic>: The main advantage of using deep learning when compared to other machine learning algorithms is that it has the capability to accomplish feature engineering on its own. Swarm intelligence is also a highly useful technique to solve a wide range of real-world, complex, and non-linear problems. …”
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Volume of Fluid (VOF) Method as a Suitable Method for Studying Droplet Formation in a Microchannel by Felipe Santos Paes da Silva, Paulo Noronha Lisboa-Filho

“…However, the influence of different numerical methods on the analysis of physical parameters in problems involving droplet generation in microchannels remains an area of ongoing research. …”
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Heat Storage Decoupling Method Based on Coordinated Load Scheduling Model by Yi LEI, Mingzhen LIU, Kaimin LIN

“…In the winter of China's northern area, the heating period of coal-fired units, the dry season of hydropower units and the period of large-scale wind power generation are superimposed, and there exist serious problems of wind curtailment and environmental pollution. …”
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Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification by Shahriar Shayesteh, Diana Inkpen

“…One of the techniques used in these models to mitigate the generator from mode collapse is feature matching (FM). Although FM addresses some of the critical issues of SS-GANs, these models still suffer from mode collapse with missing coverage outside the data manifold. …”
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A Parts Detection Network for Switch Machine Parts in Complex Rail Transit Scenarios by Jiu Yong, Jianwu Dang, Wenxuan Deng

“…However, in the detection of complex rail transit switch machine parts such as augmented reality and automatic inspection, existing algorithms have problems such as insufficient feature extraction, large computational complexity, and high demand for hardware resources. …”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…The deep beam in load transfer is very important as well as difficult to design due to its shear stress problems. Accurate estimation of shear stress would help engineers to get a safer design. …”
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Reexamining Povarov Reaction’s Scope and Limitation in the Generation of HCV-NS4A Peptidomimetics by Maan T. Khayat, Abdelsattar M. Omar, Mahmoud A. Elfaky, Yosra A. Muhammad, Elaf A. Felemban, Khalid M. El-Say, Moustafa E. El-Araby

“…The four compounds that survived the stability problems (1a-1d) did not show significant binding potency with NS3, because their structures were too simple to resemble the originally planned compounds.…”
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Blockchain covert communication scheme based on the cover of normal transactions by Pengkun JIANG, Wenyin ZHANG, Jiuru WANG, Shanyun HUANG, Wanshui SONG

“…With the development of computer technology, the situation of modern network attack and defense is becoming increasingly severe, and the problem of secure transmission of secret information needs to be solved urgently.Covert communication technology embeds secret information into the carrier and transmits the information safely through the covert channel.However, the traditional covert channels face the challenges of data damaging, attack, detection and so on, which cannot meet the higher security requirements.As a public data platform, blockchain can embed secret information under the cover of a large number of transactions.With its tamper proof, anonymity, decentralization and other characteristics, blockchain can well solve the problems of traditional covert channels and achieve secure covert communication.However, the existing blockchain covert communication schemes are limited by low communication efficiency and poor security.How to improve safety and efficiency of covert communication is a research focus of blockchain covert communication.Motivated by this issue, a blockchain covert communication scheme based on the cover of normal transactions was proposed.The hash algorithm was used to build a transmission-free password table to embed secret information without changing any transaction data.Using the elliptic curve feature, transactions with hidden information can be quickly screened out from a large number of transactions, to extract secret information quickly.This scheme improves the security and efficiency of covert communication and has strong portability.Theoretical analysis shows that attackers cannot distinguish between ordinary transactions and special transactions.This scheme has high anti-detection and scalability.Besides, the experimental results of the bitcoin test network show the high efficiency of this scheme.…”
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Prospects for Digital and Innovative Technologies in Management Competitiveness of Enterprises by Mizanbekova Salima K., Bogomolova Irina P., Shatohina Nataliya M.

“…The present research featured the prospects for the use of innovative technologies by industry management in the conditions of economy digitalization and a chaotically changing market. …”
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The “new man” project and teaching history and social sciences: on the discussion in the journal “The Marxist historian”. 1926–1928 by K. R. Ambartsumyan

“…Thus, by 1928, the discussions featured the need for systematic history at different educational levels.…”
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Integration of interior design strategies and computer-aided design technology guided by morphogenetic theory by Jie Zhang, Zhongxian Ren

“…In response to the problems of low efficiency and insufficient intelligence in traditional interior design, this study integrates deep learning-based interior design strategies with computer-aided design technology under the guidance of morphogenesis theory. …”
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Analytical and numerical solutions of squeezing nanofluid flow between parallel plates: A comparison of IRPSM and HPM by Abdullah Dawar, Hamid Khan

“…Therefore, a squeezing flow problem between two parallel plates has been investigated in this article. …”
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Classification of skin diseases with deep learning based approaches by Merve Okumuş Sarı, Kübra Keser

“…Abstract Skin diseases are one of the most common health problems that affect people of all ages around the world and significantly reduce the quality of life of individuals. …”
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Transmuted exponential-compound Weibull distribution for modelling of positively skewed data by Nnaemeka Martin Eze, Waheed Babatunde Yahya

“…The new model is characterized by a flexible structure ideal for analyzing positive data and featuring a hazard rate function that has bathtub shaped which makes it to offer more flexibility to solve the problem of elongation and asymmetry than the competing distributions. …”
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